Research & Planning
Timeline & Gantt
Planned project milestones using a GANTT chart to ensure timely delivery during the internship timeline.
Methodology
Conducted mixed-methods research including surveys and user interviews to identify pain points with traditional manuals.
Competitive Analysis
Evaluated existing solutions like Hyundai BlueLink and OnCommand Connection Go to find UX gaps.
User Personas
Key Insight: Users feel overwhelmed when looking for specific technical data like charging ports or warning lights.
What I Heard
"There is a deep learning curve with new tech. Operators need to be trained to understand error messages."
— Vasbinder, B.
"Placing a QR code at EV charge points would provide basic triage instructions for drivers."
— Rodway, K.
AR Feasibility Analysis
Bridges the gap between online training and practical machinery application.
Reduces downtime via faster diagnostics and troubleshooting.
The technology enhances the experience for directionally challenged and neurodivergent users by providing clear visual aids.
By enabling faster diagnostics and step-by-step guidance during repairs, AR minimizes the risk of errors and reduces costs associated with prolonged maintenance.
Connectivity issues and FOV limitations disrupt accuracy.
Risk of user distraction and potential for driving accidents.
Concept to Core
Through secondary research, I identified key user needs and pain points in vehicle maintenance and timely deliveries. I knew a solution was needed to bridge this educational gap between truck drivers and their electric commercial vehicles.
Final Prototype
Truck Dashboard AR Guide
Drivers were usually confused by the dashboard's complexity and lack of clear visual cues. This feature provides clear visual guidance and contextual information to improve usability and overall understanding.
Truck Charging Port AR Guide
This feature identifies the charging port of the truck via camera and provides pure state instructions and feedback.